Systems and Methods for Automated Multimodal Delivery

4. The method of claim 1, wherein the information comprises at least one of: an image of the location, an aerial photograph of the location, a road condition report, a weather report, a wind speed at the location, crime data associated with the location, a historical delivery report associated with at least one previous delivery to the location, a user profile associated with at least one user residing at the location, a delivery time, a presence of the user at the location, a presence of delivery vehicles at the location, an item-size characteristic, an item-weight characteristic, a tree coverage at the location, or a distance between the first vehicle, second vehicle, and/or third vehicle and the location.

5. The method of claim 1, wherein determining the information comprises transmitting a request for at least a portion of the information from at least one of a cloud-based server, a vehicle-based database, or at least one sensor of the first vehicle, second vehicle, and/or third vehicle.

9. The device of claim 6, wherein the information comprises at least one of: an image of the location, an aerial photograph of the location, a road condition report, a weather report, a wind speed at the location, crime data associated with the location, a historical delivery report associated with at least one previous delivery to the location, a user profile associated with at least one user residing at the location, a delivery time, a presence of the user at the location, a presence of delivery vehicles at the location, an item-size characteristic, an item-weight characteristic, a tree coverage at the location, or a distance between the first vehicle, second vehicle, and/or third vehicle and the location.

11. The non-transitory computer-readable medium of claim 10, wherein the information comprises at least one of: an image of the location, an aerial photograph of the location, a road condition report, a weather report, a wind speed at the location, crime data associated with the location, a historical delivery report associated with at least one previous delivery to the location, a user profile associated with at least one user residing at the location, a delivery time, a presence of the user at the location, a presence of delivery vehicles at the location, an item-size characteristic, an item-weight characteristic, a tree coverage at the location, or a distance between the first vehicle, second vehicle, and/or third vehicle and the location.

12. The non-transitory computer-readable medium of claim 10, wherein capturing sensor data by the first vehicle or the second vehicle at the delivery location further comprises causing the second vehicle to deploy from the first vehicle to capture the sensor data from the location of the delivery.

13. The non-transitory computer-readable medium of claim 10, wherein causing the second vehicle to deliver the at least one item from the first vehicle to the drop-off location is further based on a determination that the first vehicle is unable to deliver the at least one item to the drop-off location.

14. The non-transitory computer-readable medium of claim 13, wherein the determination that the first vehicle is unable to deliver the at least one item to the drop-off location includes a determination that an obstacle exists between the first vehicle and the drop-off location.

15. The method of claim 1, wherein determining that the delivery capability using the third vehicle is below the first threshold is based on an obstacle existing between the first vehicle and the drop-off location.